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<br />JARRETI AND TOMUNSON: REGIONAL INTERDISClPUNARY PALEOF1.00D METHOD
<br />
<br />rivers in the study area are relatively armored with cobQ!e and
<br />boulders and floodplain sediments typically are fine-grained
<br />but stable for long periods (Table 2), paleoflood reconstruc-
<br />tions reflect reiatively stable conditions. The HWM-PSI rela-
<br />tions developed from recent floods in the western United
<br />States [Jarrett ef al., 1996J, which included several documented
<br />1995 floods in northwestern Colorado, help to reduce the un-
<br />certainty of paleodischarge estimates. In addition, when using
<br />paleoflood techniques to estimate peak discharge of recent
<br />large floods where gaged flood data were available to assess the
<br />reliabiiity, the paleoflood estimates were within about 10% of
<br />large gaged floods and further document the value of the
<br />critical-depth method (Tabie 2). Therefore paleoflood esti-
<br />mates for this study are believed to have total uncertainties of
<br />about 25 to 30%.
<br />The greatest sources of uncertainty on flood variability are
<br />natural or anthropogenic climate change (variability) effects.
<br />Paleoflood estimates incorporate the effects of climatic
<br />changes on hydrology during the period of the paleoflood
<br />record [Jarrett, 1991J. Certainly, moderate climate changes (or
<br />other changes such as wildfire effects on flooding or vegetation
<br />changes) have occurred during the Holocene; however, these
<br />effects are reflected in the maximum flood preserved at a site.
<br />Paleoflood data where the maximum age during which the
<br />flood occurred is at ieast 5000 years are denoted with large,
<br />soiid triangles, and small, solid triangles denote a maximum
<br />age of less than 5000 years (Figure 9). The envelope curve of
<br />maximum flooding incorporating the paieoflood data (Figure
<br />9) is about 20 to 25% larger than contemporary maximum
<br />flooding in about the past 100 years since streamflow monitor-
<br />ing began (Figure 9). This modest increase likeiy is due to the
<br />large spatial extent of the database and relatively iow-
<br />magnitude flooding in northwestern Colorado. Variability in
<br />climate and basin conditions during the Holocene does not
<br />appear to have had a large impact on flood magnitude, and the
<br />assumption of stationarity may be valid for the upper end of
<br />the flood-frequency CUIVes in the study area. Thus the enve-
<br />lope curve (Figure 9) probably reflects an upper bound of
<br />flooding during the Holocene in northwestern Colorado.
<br />More quantification (e.g., using one-dimensional or two-
<br />dimensional hydraulic modeling to calculate paleoflood dis-
<br />charges, using absolute-age dating of flood deposits, more ro-
<br />bust flood-frequency parameter estimation procedures,
<br />regional flood-frequency analysis with paleoflood data, etc.)
<br />would improve the accuracy of individual paleoflood estimates
<br />and better quantification of uncertainties. However, the inter-
<br />pretation that no substantial flooding has occurred during the
<br />Holocene in northwestern Colorado, including Elkhead Creek,
<br />would not differ. While use of complex procedures might pro-
<br />vide a more precise quantitative description of the data, dis-
<br />charge and frequency estimates of extreme floods in a basin
<br />may be readily estimated by the paleoflood techniques de-
<br />scribed above that provide a cost-effective approach.
<br />A critical assumption for calculation of PMP estimates is
<br />geographic transposition of storm events from geographically
<br />and climatologically similar locations to watershed of interest.
<br />However, the NRC [1994] cautions that storm transposition
<br />and moisture ma'cimization need to be for a slightly different
<br />location in the same climatic region. Regional analyses of rain-
<br />fa]], streamflow, and paleoflood data in the present study pro-
<br />vide information to evaluate the assumptions about large rain-
<br />storms in northwestern Colorado.
<br />The assumption that large rainstorms or rain on snow pro-
<br />
<br />2979
<br />
<br />duce iarge floods in the Rocky Mountains [FEMA, 1976; Han-
<br />sen ef aI., 1977, 1988] has implications for dam safety and
<br />floodplain management. Although a number of streamflow-
<br />gaging stations in the Yampa River basin had over 75 years of
<br />record, but no large rainfall floods, these iong-term gaged data
<br />were assumed not to be representative of extreme flood po-
<br />. tential from rainfall by FEMA (1976J. Thus the flood hydrology
<br />for some studies was based on transposing distant, large rain-
<br />storms from Arizona, New Mexico, and southwestern Colo-
<br />rado into northwestern Colorado and using rainfall-runoff
<br />modeling to adjust the upper end of the gaged flood-frequency
<br />relation [FEMA, 1976J. The flood.frequency relation for Elk-
<br />head Creek at Elkhead Reservoir developed by Ayres Associ-
<br />ates, Inc. (written communication, 1996) (Figure 11 and Tabie
<br />3) essentia]]y is the same as the flood-frequency relations from
<br />this study up to about the 20-year flood. The Ayres relation
<br />sharpiy increases above the 20-year flood, falls outside the
<br />confidence iimits of the regional flood-frequency reiations
<br />above the 50-year flood, exceeds the maximum paleoflood for
<br />the basin at a recurrence interval of about 150 years, and
<br />exceeds the envelope curve value of 250 m3 s-\ which is not
<br />reasonabie hydrologically.
<br />Similar to Eikhead Creek, the FEMA and gaged flood-
<br />frequency relations for the Yampa River at Steamboat Springs
<br />(Table 3 and Figure 12), where data collection began in 1904,
<br />have good agreement to about the 50-year flood. For larger
<br />recurrence intervals the FEMA reiation increases sharply and
<br />does not fall within the 95% confidence limits for the flood-
<br />frequency relation based on streamflow data. In addition, the
<br />FEMA 500-year flood is almost double the maximum paleo-
<br />flood estimate of 311 m' S-I. The PMF for Stagecoach Res-
<br />ervoir iocated on the Yampa River upstream from Steamboat
<br />Springs (Figure 12) aiso far exceeds a 10,OOO-year recurrence
<br />interval. Similar results for Walton Creek near Steamboat
<br />Springs are iisted in Table 3.
<br />The difference for larger recurrence intervals primarily re-
<br />sults from transposition of distant rainstorms over basins in
<br />northwestern Colorado and then using rainfall-runoff model-
<br />ing to estimate the upper end of flood-frequency relation as
<br />well as the PMF. The gage and paieoflood data provide infor-
<br />mation that can be used to refine assumptions used to estimate
<br />extreme flooding using storm transposition and rainfall-runoff
<br />modeling to at ieast a recurrence interval of 5000 years. The
<br />paleoflood data provide no support for sharp upward slope
<br />increase of the frequency curve.
<br />To help place the flood and paleoflood data in a regional
<br />probabilistic context, the EMA relations (with averagel
<br />regional skew) for the eight stations (Tabie 3) were plotted
<br />versus drainage area (Figure 13). Although flooding results
<br />from several factors (basin siope, precipitation indices, vege-
<br />tation, etc.) other than drainage area, there is a fairiy good
<br />relation between gaged sites. In addition, the envelope curve
<br />defined by the paleoflood data also can be placed in a proba-
<br />bility context.
<br />The site-specific PMP study conducted for the Elkhead
<br />Creek drainage basin west of the Continental Divide in north-
<br />western Colorado revisited various issues related to the PMP
<br />under the explicit conditions which exist at Elkhead Reservoir
<br />and other reservoirs in northern Colorado (Tomlinson and
<br />Solak, 1997J. These issues included a physical accounting of the
<br />effect of topography on storm transpositioning, downslope
<br />wind flows under PMP storm conditions, and high-altitude
<br />moisture depletion. The combined results of the hydrologic
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